Abstract
Data mining started off by finding clearly defined patterns in large sets of relatively homogeneous data. Over the years, increasingly complex data sources were tackled. As a result, newly developed methods grew in complexity, but the basic assumption that the type of pattern sought for was known beforehand remained a constant. I argue that we will ultimately require new systems which enable users to gain new, often surprising insights before they can even determine how to fine-tune and/or validate the patterns themselves.
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Notes
- 1.
Personal communication with Christian Borgelt who cited (from memory) a publication that we were unable to find. Please contact the author if you know the reference.
- 2.
As Pat Langley once put it: “The entire Machine Learning community is kind of overfitting on the UCI Benchmark collection.”
- 3.
- 4.
Arthur Koestler: The Act of Creation, 1964.
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© 2012 Springer-Verlag Berlin Heidelberg
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Berthold, M.R. (2012). From Patterns to Discoveries. In: Gaber, M. (eds) Journeys to Data Mining. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28047-4_4
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DOI: https://doi.org/10.1007/978-3-642-28047-4_4
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